{"id":"https://openalex.org/W3049532975","doi":"https://doi.org/10.1109/tsp49548.2020.9163397","title":"Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks","display_name":"Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3049532975","doi":"https://doi.org/10.1109/tsp49548.2020.9163397","mag":"3049532975"},"language":"en","primary_location":{"id":"doi:10.1109/tsp49548.2020.9163397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.11559","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036154051","display_name":"Martin Kola\u0159\u00edk","orcid":"https://orcid.org/0000-0001-6158-6162"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Martin Kolarik","raw_affiliation_strings":["Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036042625","display_name":"Radim B\u00fcrget","orcid":"https://orcid.org/0000-0003-1849-5390"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radim Burget","raw_affiliation_strings":["Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061350050","display_name":"Kamil \u0158\u00edha","orcid":"https://orcid.org/0000-0002-6196-5215"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Kamil Riha","raw_affiliation_strings":["Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Telecommunications and SIX Research Center, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036154051"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":1.6232,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8659005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"677","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7716240882873535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737231016159058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6452087759971619},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5380669832229614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5184552073478699},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5111361145973206},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42373770475387573}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7716240882873535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737231016159058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6452087759971619},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5380669832229614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5184552073478699},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5111361145973206},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42373770475387573},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp49548.2020.9163397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 43rd International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.11559","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.11559","pdf_url":"https://arxiv.org/pdf/2011.11559","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.11559","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.11559","pdf_url":"https://arxiv.org/pdf/2011.11559","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W2119878957","https://openalex.org/W2284050935","https://openalex.org/W2502312327","https://openalex.org/W2795783309","https://openalex.org/W2914363005","https://openalex.org/W2949117887","https://openalex.org/W2963399222","https://openalex.org/W2963685250","https://openalex.org/W2963840672","https://openalex.org/W2964068654","https://openalex.org/W4250482878","https://openalex.org/W4293455017","https://openalex.org/W4297779039","https://openalex.org/W4394666973","https://openalex.org/W6639824700","https://openalex.org/W6695676441","https://openalex.org/W6751923770","https://openalex.org/W6755310813"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4321441197","https://openalex.org/W2953716828","https://openalex.org/W2469820710","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"widespread":[1],"use":[2],"of":[3,68,81,94],"Batch":[4,20],"Normalization":[5,21,83,101,131],"has":[6],"enabled":[7],"training":[8,29,91,123],"deeper":[9,119],"neural":[10,36,89],"networks":[11],"with":[12,106,121],"more":[13],"stable":[14],"and":[15,30],"faster":[16],"results.":[17],"However,":[18],"the":[19,32,56,79,85,96,99,103,129,144],"works":[22],"best":[23],"using":[24],"large":[25,43],"batch":[26,44,87],"size":[27,45,88],"during":[28],"as":[31],"state-of-the-art":[33],"segmentation":[34,71],"convolutional":[35],"network":[37,90,120,145],"architectures":[38],"are":[39],"very":[40],"memory":[41],"demanding,":[42],"is":[46,111,137],"often":[47],"impossible":[48],"to":[49,61,113,143],"achieve":[50],"on":[51,65],"current":[52],"hardware.":[53],"We":[54,125],"evaluate":[55],"alternative":[57],"normalization":[58,148],"methods":[59,98],"proposed":[60],"solve":[62],"this":[63,135],"issue":[64],"a":[66],"problem":[67],"binary":[69],"spine":[70],"from":[72],"3D":[73],"CT":[74],"scan.":[75],"Our":[76],"results":[77,116],"show":[78,127],"effectiveness":[80],"Instance":[82,100,130],"in":[84,134],"limited":[86],"environment.":[92],"Out":[93],"all":[95],"compared":[97,142],"achieved":[102,117],"highest":[104],"result":[105],"Dice":[107],"coefficient":[108],"=0.96":[109],"which":[110],"comparable":[112],"our":[114],"previous":[115],"by":[118],"longer":[122],"time.":[124],"also":[126],"that":[128],"implementation":[132],"used":[133],"experiment":[136],"computational":[138],"time":[139],"efficient":[140],"when":[141],"without":[146],"any":[147],"method.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-08-21T00:00:00"}